Identifying delayed human response to external risks: an econometric analysis of mobility change during a pandemic
This study provides a novel approach to estimating delayed human responses to health risks using a hybrid ARDL-Erlang model. Our findings highlight significant variability in the impact and timing of responses across states, underscoring the need for tailored public health policies. This study can also serve as guidelines and an example for identifying delayed human behavior in other settings.
Authors
- Hazhir Rahmandad (ORCID: https://orcid.org/0000-0002-2784-9042)
- G Zhang (ORCID: https://orcid.org/0000-0003-3132-0675)
- Ran Xu (ORCID: https://orcid.org/0000-0002-5832-9226)
- Navid Ghaffarzadegan (ORCID: https://orcid.org/0000-0003-3632-8588)
- Ann Osi (ORCID: https://orcid.org/0009-0005-1534-4898)
Institutions
- University of Connecticut (US)
- Massachusetts Institute of Technology (US)
- Virginia Tech (US)
Publication Details
- Journal
- BMC Medical Research Methodology
- Published
- 2025-10-29
- DOI
- https://doi.org/10.1186/s12874-025-02696-x
- Primary Topic
- COVID-19 epidemiological studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation
- Division of Social and Economic Sciences
- Division of Mathematical Sciences